Update README.md

README.md

@@ -11,7 +11,7 @@ sdk_version: 4.44.0
 
 ## **Overview:** 
 
-ChanceRAG is a Retrieval-Augmented Generation (RAG) application designed to process documents (such as Documents and Docs) and retrieve relevant information to provide detailed and accurate responses based on user queries. The system leverages various retrieval techniques, including vector embeddings, TF-IDF, BM25, and Word2Vec, and re-ranking methods such as advanced fusion, reciprocal rank fusion, and semantic similarity. The application integrates with Mistral’s embedding model for generating embeddings and employs Annoy for efficient retrieval using angular distance.
+ChanceRAG is a Retrieval-Augmented Generation (RAG) application designed to process documents (such as PDF and Docs) and retrieve relevant information to provide detailed and accurate responses based on user queries. The system leverages various retrieval techniques, including vector embeddings, annoy, BM25, and Word2Vec, and re-ranking methods advanced fusion. The application integrates with Mistral’s embedding model for generating embeddings and employs Annoy for efficient retrieval using angular distance.
 
 ## **Data Flow:**
 
@@ -100,10 +100,6 @@ Components include:
 
 ![Response_Style](images/Response_Style.png)
 
-![Retrieval Methods](images/Retrieval_Methods.png)
-
-![Reranking Methods](images/Reranking_Methods.png)
-
 ![RAG Response](images/RAG_Response.png)